Job Description

Machine Learning Engineer (LLM / ML / Deep Learning)

Salary:

RM5,000 - RM8,000

Employment Type:

Full-time (Permanent)

Location:

The Dune @ Light Grey, Sungai Buloh (Free on-site parking)

Work Arrangement:

Hybrid (10am - 6pm)

About the Role

We're looking for a

Machine Learning Engineer

who is excited to support real-world AI systems used in production. This role is hands-on and practical, focused on

running models, maintaining datasets, checking outputs, and supporting deployments

for machine learning and LLM-based applications at TESS.

You do not need many years of experience -- what matters most is your

attention to detail

,

curiosity

, and ability to follow through. If you enjoy working with datasets, testing model outputs, and helping AI systems perform consistently, you'll fit right in.

Qualifications & Requirements

Bachelor's degree

in

Computer Science, Data Science, Engineering, or a related field

is

not mandatory

, but is a

plus

.

Strong understanding

of

Machine Learning

,

Deep Learning

, and

LLM principles

is a

plus

.

Proficiency in Python

and experience with at least one

ML/DL framework

(e.g.

PyTorch

,

TensorFlow

,

scikit-learn

). Familiarity with

Neural Networks

,

Transformer architectures

, and

basic NLP concepts

. Experience with

training workflows

,

evaluation metrics

, and

debugging model behaviour

. Comfortable

reading and writing code

, and using

version control (Git)

.

What You'll Be Doing

Support the design, training, and tuning

of

ML, DL, and LLM models

Prepare, clean, and manage datasets

, including assisting with

feature engineering

Conduct model evaluation and optimisation

to improve performance

Fine-tune LLMs

and explore

semantic search / RAG techniques

when applicable

Assist with model deployment

and

integration with backend systems

Monitor model performance

and

track experimental results

Document findings

and maintain

organised model and version records

Collaborate with ML engineers and product teams

on

AI-related features

Stay up to date

with the latest

ML and LLM tools, methods, and techniques

What You'll Enjoy

Flexible working hours (10am - 6pm) Hybrid work option after probation EPF, SOCSO & EIS contributions 6-month performance reviews Opportunities to grow into AI Engineer or ML Engineer roles A supportive, collaborative team environment Exposure to real projects across multiple industries

Who We Are | About TESS

At TESS SDN BHD, we build custom digital solutions that blend technology with strategy. As part of a growing Tech Ecosystem, we work across industries, delivering web platforms, mobile apps, and AI-based tools that push the boundaries of what's possible.

For us, we don't just hire skills -- we hire people with the right mindset. If you care about your work, communicate well, and want to grow long-term, we'd love to meet you. In return, we offer meaningful opportunities across industries, transparent leadership, and a culture that supports those who are with us for the long run.

How to Apply

Send your resume and portfolio to

hr@tess.gg

with the subject line:

"Machine Learning Engineer Application - [Your Name]"

Job Type: Full-time

Pay: RM5,000.00 - RM8,000.00 per month

Benefits:

Flexible schedule Free parking Professional development Work from home
Ability to commute/relocate:

Sungai Buloh: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):

What languages do you communicate in? From a scale of 1 - 10 (1 being very basic, 10 being like a native), how would you rate your proficiency in each language? Do you have a notice period? If yes, how long is it? How much is your expected salary?
Work Location: In person